class_docstr: PUBDEV-2980: deeplearning return the field model._model_json['output']['scoring_history'].cell_values
  with different lengths.  Normally, it is length 3.  Sometimes, it is length 2.
  
  
  This class is created to train a deeplearning model with different parameters settings and re-create two
  models with different field length for debugging purposes.
code: def __init__(self):
      self.setup_data()
  
file_path: h2o-3/h2o-py/dynamic_tests/testdir_algos/deeplearning/pyunit_PUBDEV_2980_deeplearning_badfields_NOPASS.py
imports: import sys
  import os
  from builtins import range
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.deeplearning import H2ODeepLearningEstimator
label_desc: Use image node_id 1 to create a new Test_PUBDEV_2980_deeplearning object  with example: obj = Test_PUBDEV_2980_deeplearning()